Yu Wang

Yu Wang is a Researcher at the Medical College of Wisconsin's Biostatistics department. He transitioned to this role after completing his PhD in Biostatistics at the same institution in 2019. His work is supervised by Dr. Auer Paul, Dr. Lin Masaki, and Dr. Chen Zhongyuan. Yu specializes in computational biology, machine learning techniques (e.g., Random Forest, Hidden Markov Models), and high-performance computing applications in neuroimaging and survival analysis.

Education:

• PhD in Biostatistics (Medical College of Wisconsin, Milwaukee, WI)
• MS in Mathematics (Missouri State University, Springfield, MO)
• BS in Statistics (Henan University of Economics and Law, Zhengzhou, China)

Research focuses on neuroimaging endophenotypes, genetic influences on brain aging, and AI-driven analysis of neurodegenerative diseases. His work bridges computational methods with clinical insights, addressing Alzheimer’s, schizophrenia, and temporal lobe epilepsy through machine learning models and structural covariance analysis.

Publications span neuroimaging biomarkers for brain disorders, genetic correlates of brain structure, and AI-based disease subtyping. Collaborations emphasize cross-disciplinary approaches to understand disease heterogeneity and clinical vulnerability.